NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
ERIC Number: ED672577
Record Type: Non-Journal
Publication Date: 2025-Jan-30
Pages: 63
Abstractor: As Provided
ISBN: 978-92-830-6763-4
ISSN: N/A
EISSN: N/A
Available Date: 0000-00-00
Generative AI and Foundation Models in the EU: Uptake, Opportunities, Challenges, and a Way Forward. Final Report
Pierre-Alexandre Balland; Olesya Grabova; J. Scott Marcus; Robert Praas; Andrea Renda
European Union
This report examines the burgeoning generative artificial intelligence (GenAI) and foundation models landscape within the European Union, and analyses its impact, technological advancements, and regulatory implications. It details the GenAI value chain, identifying key players and investment trends, revealing a significant US dominance. The report then explores GenAI applications across various sectors (automotive, renewable energy, and education), highlighting opportunities and challenges. A SWOT analysis assesses the EU's position as a producer and as a user of GenAI. The report concludes with policy recommendations for fostering a competitive, ethical, and inclusive European AI ecosystem, including identifying needs for increased investment, more skills development, and greater regulatory clarity, as well as a need for enhanced collaboration with civil society organisations. [The study was prepared for the European Economic and Social Committee (Belgium) by the Centre for European Policy Studies (CEPS).]
European Union. Available from: EU Bookshop. e-mail: bookshop@publications.europa.eu; Web site: http://bookshop.europa.eu/en/home/
Publication Type: Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: European Union (EU) (Belgium)
Identifiers - Location: Europe
Grant or Contract Numbers: N/A
Author Affiliations: N/A